Jennifer Willert

1.3k citations
37 papers · 926 indexed · h-index 13

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 11
    • Vascular Tumors and Angiosarcomas 2
    • Hematopoietic Stem Cell Transplantation 3

Jennifer Willert

36 papers receiving 913 citations

Peers

Jennifer Willert
Comparison fields: 5 of 76
  • Genetics 93
  • Oncology 223
  • Molecular Biology 485
  • Hematology 69
  • Pulmonary and Respiratory Medicine 178
Replace Emanuela Garelli with:
Emanuela Garelli Italy
Louis-Martin Boucher Canada
Peet Nooijen Netherlands
Jessica Van Ziffle United States
Rosamma DeCastro United States
Kentaro Fujii Japan
Rizwan Naeem United States
Todd E. Heaton United States
Monika Csóka Hungary
Sadao Tokimasa Japan
Jennifer Willert relative to Emanuela Garelli Italy Emanuela Garelli's profile →
Citations per field
00.5×1.5×2.2×
Emanuela Garelli · 1×
Citations per year

Countries citing papers authored by Jennifer Willert

Since Specialization
Citations

This map shows the geographic impact of Jennifer Willert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer Willert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Willert more than expected).

Fields of papers citing papers by Jennifer Willert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Willert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer Willert. The network helps show where Jennifer Willert may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jennifer Willert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer Willert Line = papers co-authored together Jennifer Willert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20231
4 20234
5 202237
6 202112
7 20162
8 20168
9 201440
10 20131
11 20117
12 20101
13 200928
14 2008119
15 200416
16 2002335
17 200025
18 19997
19 199533
20 199480

About Jennifer Willert

Jennifer Willert is a scholar working on Oncology, Hematology, Genetics, Public Health, Environmental and Occupational Health and Rheumatology, having authored 37 papers that have together received 926 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Sarcoma Diagnosis and Treatment (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Biomedical Ethics and Regulation (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Ethics and Legal Issues in Pediatric Healthcare (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Vascular Tumors and Angiosarcomas (2 papers). The work is most often cited by research in Genetics (93 citations), Oncology (223 citations), Molecular Biology (485 citations), Hematology (69 citations) and Pulmonary and Respiratory Medicine (178 citations). Jennifer Willert has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Patrick O. Brown, Jonathan R. Pollack, Roel Nusse, Mirjam T. Epping, Philip H. Cogen, Laleh Daneshvar, Najat C. Daw, Fariba Navid, M. Beth McCarville and Wayne L. Furman. Their work appears in journals such as Blood, Journal of Pediatric Hematology/Oncology, Pediatric Blood & Cancer, Journal of Developmental & Behavioral Pediatrics and Transplantation and Cellular Therapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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